Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jesús Alejandro Alzate-Grisales"'
Autor:
Jesús Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Harold Brayan Arteaga-Arteaga, Mario Alejandro Bravo-Ortiz, Daniel Arias-Garzón, Luis Humberto López-Murillo, Esteban Mercado-Ruiz, Juan Pablo Villa-Pulgarin, Oscar Cardona-Morales, Simon Orozco-Arias, Felipe Buitrago-Carmona, Maria Jose Palancares-Sosa, Fernanda Martínez-Rodríguez, Sonia H. Contreras-Ortiz, Jose Manuel Saborit-Torres, Joaquim Ángel Montell Serrano, María Mónica Ramirez-Sánchez, Mario Alfonso Sierra-Gaber, Oscar Jaramillo-Robledo, Maria de la Iglesia-Vayá, Reinel Tabares-Soto
Publikováno v:
Scientific Data, Vol 9, Iss 1, Pp 1-10 (2022)
Measurement(s) Radiologic Examination Technology Type(s) Artificial Intelligence Sample Characteristic - Location Colombia
Externí odkaz:
https://doaj.org/article/0d7404daffa342f3be664df04ddf95f3
Autor:
Frank Florez, Jesús Alejandro Alzate-Grisales, Pedro Fernández de Córdoba, John Alexander Taborda-Giraldo
Publikováno v:
Energies, Vol 16, Iss 6, p 2693 (2023)
Asymmetric thermal zones or even non-rectangular structures are common in residential buildings. These types of structures are not easy to model with specialized programs, and it is difficult to know the heat flows and the relationships between the d
Externí odkaz:
https://doaj.org/article/40ccc967093b4a2c9261129cd4aaf79a
Autor:
Daniel Arias-Garzón, Jesús Alejandro Alzate-Grisales, Simon Orozco-Arias, Harold Brayan Arteaga-Arteaga, Mario Alejandro Bravo-Ortiz, Alejandro Mora-Rubio, Jose Manuel Saborit-Torres, Joaquim Ángel Montell Serrano, Maria de la Iglesia Vayá, Oscar Cardona-Morales, Reinel Tabares-Soto
Publikováno v:
Machine Learning with Applications, Vol 6, Iss , Pp 100138- (2021)
COVID-19 global pandemic affects health care and lifestyle worldwide, and its early detection is critical to control cases’ spreading and mortality. The actual leader diagnosis test is the Reverse transcription Polymerase chain reaction (RT-PCR), r
Externí odkaz:
https://doaj.org/article/a84869a653c2487d95a533fab96ba57d
Autor:
Reinel Tabares-Soto, Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Mario Alejandro Bravo-Ortíz, Daniel Arias-Garzón, Jesús Alejandro Alzate-Grisales, Simon Orozco-Arias, Gustavo Isaza, Raúl Ramos-Pollán
Publikováno v:
PeerJ Computer Science, Vol 7, p e616 (2021)
In recent years, the traditional approach to spatial image steganalysis has shifted to deep learning (DL) techniques, which have improved the detection accuracy while combining feature extraction and classification in a single model, usually a convol
Externí odkaz:
https://doaj.org/article/cba02b4217a848b294233bef9c4a45c2
Autor:
Jesus Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Francisco Garcia-Garcia, Reinel Tabares-Soto, Maria De La Iglesia-Vaya
Publikováno v:
IEEE Access, Vol 11, Pp 118217-118228 (2023)
Prostate cancer (PCa) is one of the leading causes of cancer-related mortality among men worldwide. Accurate and efficient segmentation of clinically significant prostate cancer (csPCa) regions from magnetic resonance imaging (MRI) plays a crucial ro
Externí odkaz:
https://doaj.org/article/0f12c7a8a8014199b8c31630cb946a84
Autor:
Manuel Alejandro Tamayo-Monsalve, Esteban Mercado-Ruiz, Juan Pablo Villa-Pulgarin, Mario Alejandro Bravo-Ortiz, Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Jesus Alejandro Alzate-Grisales, Daniel Arias-Garzon, Victor Romero-Cano, Simon Orozco-Arias, Gustavo Gustavo-Osorio, Reinel Tabares-Soto
Publikováno v:
IEEE Access, Vol 10, Pp 42971-42982 (2022)
This work presents a framework for coffee maturity classification from multispectral image data based on Convolutional Neural Networks (CNNs). The system leverages the use of multispectral image acquisition systems that generate large amounts of data
Externí odkaz:
https://doaj.org/article/e7659e932c444ddf859298bd6cc8d8ed
Autor:
Reinel Tabares-Soto, Harold Brayan Arteaga-Arteaga, Alejandro Mora-Rubio, Mario Alejandro Bravo-Ortíz, Daniel Arias-Garzón, Jesús Alejandro Alzate Grisales, Alejandro Burbano Jacome, Simon Orozco-Arias, Gustavo Isaza, Raul Ramos Pollan
Publikováno v:
PeerJ Computer Science, Vol 7, p e451 (2021)
In recent years, Deep Learning techniques applied to steganalysis have surpassed the traditional two-stage approach by unifying feature extraction and classification in a single model, the Convolutional Neural Network (CNN). Several CNN architectures
Externí odkaz:
https://doaj.org/article/ec5bda4e460a487d82b6b5e4a0df3391